CN111506011A - Construction safety monitoring method and device - Google Patents

Construction safety monitoring method and device Download PDF

Info

Publication number
CN111506011A
CN111506011A CN202010374140.0A CN202010374140A CN111506011A CN 111506011 A CN111506011 A CN 111506011A CN 202010374140 A CN202010374140 A CN 202010374140A CN 111506011 A CN111506011 A CN 111506011A
Authority
CN
China
Prior art keywords
information
construction
constructor
standard data
action
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010374140.0A
Other languages
Chinese (zh)
Inventor
纪颖波
赵子豪
刘心男
姜田甜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China University of Technology
Original Assignee
North China University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China University of Technology filed Critical North China University of Technology
Priority to CN202010374140.0A priority Critical patent/CN111506011A/en
Publication of CN111506011A publication Critical patent/CN111506011A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

Abstract

The invention provides a construction safety monitoring method and a device, wherein the monitoring method comprises the following steps: collecting construction process information, wherein the construction process information comprises constructor action information and construction environment information; calling pre-stored construction safety standard data, wherein the construction safety standard data comprises constructor action standard data and construction environment standard data; and comparing the constructor action information with the constructor action standard data, the construction environment information and the construction environment standard data respectively, and judging that no construction potential safety hazard exists if the constructor action information is in the constructor action standard data range and the construction environment information is in the construction environment standard data range. According to the method and the device, the machine identification technology is applied to construction safety monitoring, the problem that the safety monitoring real-time performance is not high in the prior art can be solved, the construction safety monitoring accuracy is improved, and the risk of construction safety accidents can be greatly reduced.

Description

Construction safety monitoring method and device
Technical Field
The invention relates to the field of construction safety management, in particular to a construction safety monitoring method and a construction safety monitoring device.
Background
Always, the accident often takes place for the workman in the work progress, and this is not perfect enough from the current early warning system in side, and the safety protection system to the operation of ascending a height in the industry at present has following problem: the worker is judged to be possibly in an unsafe state by measuring and calculating the wind speed and static electricity, but the safety accidents of the worker can be caused only indirectly by the factors, the possibility of misjudgment is high, and too much alarm information without practical significance is easy to issue. The monitoring device is connected with the safety belt, the monitored object is located at the tail end of the dangerous process, namely when the safety belt is possibly monitored and risks are judged, a worker is already in extreme danger, for example, the safety belt is too large in warning tension, and the worker is possibly thrown out. In addition, there are many dangers that the monitoring cannot be distinguished, such as the distance from the edge of the wall body, the distance from the peripheral extending steel bars and rivets to workers during hook-off operation, and the falling range of the hoisted objects.
Disclosure of Invention
In order to solve the above problems, an aspect of the present invention provides a construction safety monitoring method and a construction safety monitoring device. In one aspect of the invention, a construction safety monitoring method is provided, which comprises the following steps:
s1: collecting construction process information, wherein the construction process information comprises constructor action information and construction environment information;
s2: the method comprises the steps of calling pre-stored construction safety standard data, wherein the construction safety standard data comprise constructor action standard data and construction environment standard data;
s3: respectively comparing the constructor action information with the constructor action standard data, and the construction environment information with the construction environment standard data, if the constructor action information is within the constructor action standard data range and the construction environment information is within the construction environment standard data range, judging that no construction potential safety hazard exists, and continuously returning to execute the step S1; and if the action information of the constructors is not in the action standard data range of the constructors or the construction environment information is not in the construction environment standard data range, judging that the construction potential safety hazard exists and outputting an alarm.
Further, the action information of the constructors is video information acquired by using a video acquisition module.
Further, the constructor action information is depth information acquired by using a depth sensor.
Further, the construction environment information is video information acquired by using a video acquisition module.
Further, construction environment information is the sensing information who uses sensing device to gather, sensing device includes kinect depth sensor, altitude sensor, angle sensor, wind speed sensor and environmental monitoring sensor group in at least one.
Further, when the sensing device includes the environmental monitoring sensor group, the sensing information collected by the environmental monitoring sensor group includes at least one of illumination, temperature, humidity, harmful gas and dust information of the surrounding environment.
Further, in step S3, the construction environment information and the construction environment standard data are compared, and the worker operation information and the worker operation standard data are compared.
Further, the method also comprises the following steps: the information generated in step S3 is stored, and step S1 is performed after the storage is successful.
In another aspect of the invention, a construction safety monitoring device is provided, which comprises a control module, a storage module and a data acquisition module, wherein the data acquisition module is used for acquiring construction process information and sending the construction process information to the control module; the storage module is used for storing data, and the data comprises construction safety standard data; the control module is respectively connected with the storage module and the data acquisition module, and is used for judging whether construction is in a safe state or not by comparing the matching of the construction process information and the construction safety standard data.
Furthermore, the data acquisition module comprises a video acquisition module and a sensing information acquisition module.
According to the construction safety monitoring method and device, the machine identification technology is applied to construction safety monitoring, the problem that the safety monitoring real-time performance is not high in the prior art can be solved, the construction safety monitoring accuracy is improved, and the risk of construction safety accidents can be greatly reduced.
Drawings
Fig. 1 is a schematic structural diagram of a construction safety monitoring device proposed in this embodiment 1;
fig. 2 is a flowchart of a construction safety monitoring method proposed in this embodiment 2.
Detailed Description
The invention will be described in further detail below with reference to fig. 1 to 2, in order to better understand the contents of the invention and its advantages in various aspects. In the following examples, the following detailed description is provided for the purpose of providing a clear and thorough understanding of the present invention, and is not intended to limit the invention.
Example 1
The invention provides a construction safety monitoring device, which comprises a control module 1, a storage module 2 and a data acquisition module 3, wherein the data acquisition module 3 is used for acquiring construction process information and sending the construction process information to the control module, as shown in figure 1; the storage module 2 is used for storing data, and the data comprises construction safety standard data; the control module 1 is respectively connected with the storage module 2 and the data acquisition module 3, and judges whether construction is in a safe state or not by comparing the matching of construction process information and construction safety standard data.
The data acquisition module 3 comprises a video acquisition module and a sensing information acquisition module.
The video acquisition module comprises any device capable of acquiring images, and in the embodiment, the video acquisition module consists of an infrared video acquisition module and a visible light video acquisition module, the infrared video acquisition module is used for acquiring infrared images, and the visible light video acquisition module is used for acquiring visible light images. In addition, the infrared video acquisition module can be used for detecting the image information of the human body better through a thermal imaging technology, can also be used for detecting the thermal image of the temperature distribution of construction equipment, finding the working condition of the construction equipment in the construction environment in time and monitoring the construction accident possibly caused by the overheating of the equipment in time. In this embodiment, it should be understood that the video capture module is not only a single camera, the infrared video capture module may be a combination of a plurality of infrared cameras, and the visible light video capture module may be a combination of a plurality of visible light cameras, where the specific number is determined according to the requirements of an actual construction site.
The sensing acquisition module comprises any device capable of realizing a sensing function, and in the embodiment, the sensing acquisition module comprises a kinect depth sensor, a height sensor, an angle sensor, a wind speed sensor and an environment monitoring sensor group; the kinect depth sensor is used for detecting depth information, and in the embodiment, the kinect depth sensor is mainly used for detecting skeleton depth information of constructors and judging movement actions of the constructors; the height sensor is mainly used for detecting the height of a constructor and the height information of construction equipment during ascending operation, such as the height information of a lifter, the height information of a scaffold, the height information of a tower crane and the like; the angle sensor is mainly used for detecting angle information of construction equipment, such as an inclination angle of a lifter, an inclination angle of a scaffold, a tower crane angle and the like; the wind speed sensor is mainly used for detecting information such as wind speed, wind power and the like of a construction site; the environment detection sensor group is mainly used for collecting surrounding environment information, and the surrounding environment information comprises data such as illumination, temperature, humidity, harmful gas and dust.
The device can be used in any construction operation, and is particularly suitable for high-altitude construction operation, such as construction processes of ascending a height and unhooking.
Example 2
The embodiment discloses a construction safety monitoring method, which is specifically applied to a construction safety monitoring device in embodiment 1 as shown in fig. 2, and is characterized by comprising the following steps:
s1: the data acquisition module acquires construction process information and sends the construction process information to the control module. The construction process information includes constructor action information and construction environment information.
The constructor action information is video information acquired by using a video acquisition module or depth information acquired by using a depth sensor. In specific use, can select to use video acquisition module or kinect degree of depth sensor module according to specific construction demand, in this embodiment, owing to used video acquisition module and kinect degree of depth sensor module simultaneously, consequently, constructor action information includes constructor action video information and constructor action degree of depth information. After data acquisition is completed, the video acquisition module sends the video information of the actions of the constructors to the control module
The construction environment information is video information acquired by using a video acquisition module or sensing information acquired by using a sensing device, namely the sensing information can be one or more of height information detected by a height sensor, angle information detected by an angle sensor, wind speed information detected by a wind speed sensor and ambient environment sensing information detected by an environment monitoring sensor group, wherein the ambient environment sensing information comprises information of illumination, temperature, humidity, harmful gas, dust and the like of the ambient environment. In a specific using process, required sensors are installed according to construction requirements to detect corresponding information. In the present embodiment, the sensing information includes altitude information, angle information, wind speed information, ambient environment information, and ambient environment video information.
S2: and the control module calls construction safety standard data from the storage module, wherein the construction safety standard data comprises constructor action standard data and construction environment standard data.
The construction safety standard data is standard data stored in the storage module in advance and used for comparing construction process information so as to judge whether potential safety hazards exist in the construction process. The construction safety standard data need be stored according to specific construction conditions, for example, in construction, only the action information of constructors needs to be detected through the video acquisition module, only the height information needs to be detected through the height sensor, and only the action standard video data and the construction height standard data of the constructors need to be stored in the storage module before construction.
In the embodiment, the video information of the actions of the constructors needs to be detected through a video acquisition module, the video information of the actions of the constructors comprises infrared video information of the actions of the constructors and visible light video information of the actions of the constructors, and the depth information of the actions of the constructors needs to be detected through a depth sensor; meanwhile, the video information of the surrounding environment is required to be acquired through a video acquisition module, the video information of the surrounding environment comprises infrared video information of the surrounding environment and visible light information of the surrounding environment, the height information is required to be acquired through a height sensor, the angle information is required to be acquired through an angle sensor, the wind speed information is required to be detected through a wind speed sensor, and the information of the surrounding environment is required to be detected through an environment detection sensor group; therefore, in this embodiment, standard data of the constructor action video information, the constructor action depth information, the ambient environment video information, the height information, the angle information, the wind speed information, and the ambient environment information need to be stored in the storage module before construction, so that it is ensured that corresponding standard data of the construction process information detected in the construction process can be compared.
S3: the control module respectively compares the constructor action information with the constructor action standard data, the construction environment information with the construction environment standard data, if the constructor action information is within the constructor action standard data range and the construction environment information is within the construction environment standard data range, the control module judges that no construction potential safety hazard exists, and continuously returns to execute the step S1; and if the action information of the constructors is not in the action standard data range of the constructors or the construction environment information is not in the construction environment standard data range, judging that the construction potential safety hazard exists, and alarming by the control module.
In step S3, the construction environment information and the construction environment standard data are compared, and the worker operation information and the worker operation standard data are compared. In this embodiment, since the construction environment information includes ambient environment video information, altitude information, angle information, wind speed information, and ambient environment information, and the ambient environment video information includes ambient environment infrared video information and ambient environment visible light information, and the ambient environment information includes ambient environment illumination, temperature, humidity, harmful gas, and dust information, in a specific comparison process, the step S3 is specifically as follows:
s301: comparing whether the wind speed information falls into the range of the wind speed standard data, if so, judging that no construction potential safety hazard exists, and entering step S302, otherwise, judging that the construction potential safety hazard exists;
s302: comparing whether the angle information falls into the range of the angle standard data, if so, judging that no construction potential safety hazard exists, and entering step S303, otherwise, judging that the construction potential safety hazard exists;
s303: if the higher-degree information falls into the range of the height standard data, judging that no construction potential safety hazard exists and entering step S304 if the higher-degree information falls into the range of the height standard data, otherwise, judging that the construction potential safety hazard exists;
s304: comparing whether the temperature information in the ambient environment information falls into a temperature standard data range, if so, judging that no construction potential safety hazard exists, and entering step S305, otherwise, judging that the construction potential safety hazard exists;
s305: comparing whether the humidity information in the ambient environment information falls into a humidity standard data range, if so, judging that no construction potential safety hazard exists, and entering step S306, otherwise, judging that the construction potential safety hazard exists;
s306: comparing whether the harmful gas information in the surrounding environment information falls into a harmful gas standard data range, if so, judging that no construction potential safety hazard exists, and entering step S307, otherwise, judging that the construction potential safety hazard exists;
s307: comparing whether the dust information in the surrounding environment information falls into a dust standard data range, if so, judging that no construction potential safety hazard exists, and entering step S308, otherwise, judging that the construction potential safety hazard exists;
s308: comparing whether the illumination information in the ambient environment information falls into an illumination standard data range, if so, judging that no construction potential safety hazard exists, and entering the step S309, otherwise, judging that the construction potential safety hazard exists;
s309: the illumination information in the ambient information is compared with a relationship of the first threshold value of illumination and the second threshold value of illumination. The first illumination threshold is an illumination environment with poor visibility, such as an environment in a dark day condition, and may be set according to an actual situation, for example, 1 lux, 10 lux, and the like, where in this embodiment, the first illumination threshold is set to 1 lux. The second illumination threshold is an illumination environment with poor visibility, for example, an environment in cloudy or foggy weather, and is greater than the first illumination threshold, and may be set according to an actual situation, for example, 20 lux, 50 lux, 100 lux, and the like, and in this embodiment, the second illumination threshold is set to 50 lux.
If the illumination information in the ambient environment information is smaller than the first illumination threshold, step S310 is performed;
if the illumination information in the ambient environment information is greater than or equal to the first illumination threshold and smaller than the second illumination threshold, step S311 is performed;
if the illumination information in the ambient environment information is greater than or equal to the second illumination threshold, the process proceeds to step S312.
S310: extracting a frame image of the constructor at the current moment in the infrared video information to obtain an infrared image, and extracting edge information of the infrared image by using an image edge detection method to obtain an infrared edge image; calling standard video information of constructor actions in the standard action data of constructors, extracting frame image information at each moment to obtain n standard frame images, wherein n is the total number of the video frames, and extracting edge information of the n standard frame images by using an image edge detection method to obtain n standard edge images; respectively comparing the infrared edge image with n standard edge images to find an image with the highest matching degree as an edge matching image, wherein the matching degree is determined by calculating the edge distance between the infrared edge image and the standard edge images, and the image with the highest matching degree is the standard edge image with the minimum edge distance between the image and the infrared edge images; and (4) comparing whether the edge distance between the edge matching image and the infrared edge image is smaller than an edge distance threshold value, if so, judging that the action of the constructor meets the standard without potential safety hazard, and entering step S313, otherwise, judging that the action of the constructor does not meet the standard and the potential safety hazard exists.
The standard action data of the constructors are determined according to construction standardized and normalized actions, and different construction standards can be selected according to actual requirements in the specific implementation process. The edge distance threshold may be determined according to an actual situation, for example, if the deviation between the actual action of the constructor and the standard data is set to 0.5 m, the constructor is determined to be not compliant with the standard, and of course, different values, such as 1m or 1.5m, may also be selected according to the actual situation. Note that the deviation is an actual deviation, and in the determination, the actual deviation needs to be multiplied by a reference scale, which is a ratio of the actual size to the captured picture size, and then determined as an edge distance threshold.
S311: extracting a frame image of the constructor at the current moment in the infrared video information to obtain an infrared image, and extracting edge information of the infrared image by using an image edge detection method to obtain an infrared edge image; calling standard video information of constructor actions in the standard action data of constructors, extracting frame image information at each moment to obtain n standard frame images, wherein n is the total number of the video frames, and extracting edge information of the n standard frame images by using an image edge detection method to obtain n standard edge images; respectively comparing the infrared edge image with n standard edge images to find an image with the highest matching degree as an edge matching image, wherein the matching degree is determined by calculating the edge distance between the infrared edge image and the standard edge images, and the image with the highest matching degree is the standard edge image with the minimum edge distance between the image and the infrared edge images;
comparing whether the infrared edge distance between the edge matching image and the infrared edge image is smaller than an edge distance threshold value or not, if so, continuing to compare whether the action depth information of the constructor falls into an action depth standard data range or not, if so, judging that the action of the constructor meets the standard without potential safety hazard, and entering step S313; if the infrared edge distance is greater than or equal to the edge distance threshold value, judging that the actions of constructors do not meet the standard and construction potential safety hazards exist; and if the infrared edge distance is smaller than the edge distance threshold value and the action depth information of the constructor does not fall into the action depth standard data range, judging that the action of the constructor does not accord with the standard and has construction potential safety hazards.
The standard action data of the constructors are determined according to construction standardized and normalized actions, and different construction standards can be selected according to actual requirements in the specific implementation process. The edge distance threshold may be determined according to an actual situation, for example, if the deviation between the actual action of the constructor and the standard data is set to 0.5 m, the constructor is determined to be not compliant with the standard, and of course, different values, such as 1m or 1.5m, may also be selected according to the actual situation. Note that the deviation is an actual deviation, and in the determination, the actual deviation needs to be multiplied by a reference scale, which is a ratio of the actual size to the captured picture size, and then determined as an edge distance threshold.
Whether comparison constructor action depth information falls into action depth standard data scope, the main comparison is constructor's skeleton depth information, because kinect depth sensor can effectively discern information such as motion personnel's skeleton, joint, and the motion state of skeleton can effectually embody motion personnel's motion state, consequently, under the better condition of visibility, use the comparison of skeleton depth information to judge whether the constructor action is standard, can improve the accuracy of judging. Specifically, the angle deviation between the bone depth information and the standard bone depth data is compared, if the angle deviation is greater than or equal to a bone angle threshold value, the bone depth data is judged to be nonstandard, if the angle deviation is smaller than the bone angle threshold value, the bone depth data is judged to be standard, if the angle deviation is 0 degrees, the bone depth data is completely matched, and if the angle deviation is 90 degrees, the bone depth data is completely unmatched; the bone angle threshold is any angle within the range of 0-90 degrees, and can be selected according to the actual use condition, for example, 5 degrees, 10 degrees, 20 degrees and the like are selected, and in the embodiment, the bone angle threshold is 10 degrees.
S312: extracting a frame image at the current moment in the visible light video information of the constructor to obtain a visible light image, and extracting edge information of the visible light image by using an image edge detection method to obtain a visible light edge image; calling standard video information of constructor actions in the standard action data of constructors, extracting frame image information at each moment to obtain n standard frame images, wherein n is the total number of the video frames, and extracting edge information of the n standard frame images by using an image edge detection method to obtain n standard edge images; respectively comparing the visible light edge image with n standard edge images, and finding an image with the highest matching degree as an edge matching image, wherein the matching degree is determined by calculating the edge distance between the visible light edge image and the standard edge images, and the image with the highest matching degree is the standard edge image with the minimum edge distance between the image and the visible light edge image;
comparing whether the visible light edge distance between the edge matching image and the visible light edge image is smaller than an edge distance threshold value or not, if so, continuing to compare whether the action depth information of the constructor falls into an action depth standard data range or not, if so, judging that the action of the constructor meets the standard and has no potential safety hazard, and entering step S313; if the edge distance of the visible light is greater than or equal to the edge distance threshold value, judging that the actions of constructors do not meet the standard and construction potential safety hazards exist; and if the visible light edge distance is smaller than the edge distance threshold value and the action depth information of the constructor does not fall into the action depth standard data range, judging that the action of the constructor does not meet the standard and has construction potential safety hazards.
The standard action data of the constructors are determined according to construction standardized and normalized actions, and different construction standards can be selected according to actual requirements in the specific implementation process. The edge distance threshold may be determined according to an actual situation, for example, if the deviation between the actual action of the constructor and the standard data is set to 0.5 m, the constructor is determined to be not compliant with the standard, and of course, different values, such as 1m or 1.5m, may also be selected according to the actual situation. Note that the deviation is an actual deviation, and in the determination, the actual deviation needs to be multiplied by a reference scale, which is a ratio of the actual size to the captured picture size, and then determined as an edge distance threshold.
Whether comparison constructor action depth information falls into action depth standard data scope, the main comparison is constructor's skeleton depth information, because kinect depth sensor can effectively discern information such as motion personnel's skeleton, joint, and the motion state of skeleton can effectually embody motion personnel's motion state, consequently, under the better condition of visibility, use the comparison of skeleton depth information to judge whether the constructor action is standard, can improve the accuracy of judging. Specifically, the angle deviation between the bone depth information and the standard bone depth data is compared, if the angle deviation is greater than or equal to a bone angle threshold value, the bone depth data is judged to be nonstandard, if the angle deviation is smaller than the bone angle threshold value, the bone depth data is judged to be standard, if the angle deviation is 0 degrees, the bone depth data is completely matched, and if the angle deviation is 90 degrees, the bone depth data is completely unmatched; the bone angle threshold is any angle within the range of 0-90 degrees, and can be selected according to the actual use condition, for example, 5 degrees, 10 degrees, 20 degrees and the like are selected, and in the embodiment, the bone angle threshold is 10 degrees.
S313: the information of steps S301-S312 is stored in the storage module, i.e. the generated information of step S3 is stored, and the process returns to step S1 after successful storage. And circularly acquiring construction process information, calling standard data and analyzing construction safety.
In steps S301-S313, if there is a construction safety hazard, the control module issues an alarm. The alarm can be a sound generated by a sound device arranged in the construction site controlled by the control device, such as a sound device, a buzzer and the like arranged in the construction site; also can wear portable alarm device for constructor before the construction, control module sends alarm control command and gives the portable alarm device that constructor wore, makes constructor can discover the construction potential safety hazard the very first time to in time avoid.
The safety monitoring method provided in the embodiment can be used in any construction operation, however, when the safety monitoring method is suitable for high-altitude construction operation, such as construction processes of ascending and unhooking, the improvement of the safety monitoring method can be carried out according to the actual situation of the high-altitude operation. The details are as follows:
when the construction safety monitoring method provided in this embodiment is applied to overhead lifting construction work, no potential safety hazard exists in steps S310 to S312, and the process proceeds to step S3121, where step S3121 is:
s3121: and monitoring the risk of falling objects at high altitude. And detecting whether high falling objects exist around the infrared edge image or the visible light edge image. Firstly, setting a falling radius of a falling object, wherein the falling radius of the falling object is based on the actual falling object. Secondly, detecting whether foreign matters exist in the infrared edge image or the visible light edge image within the distance range of the falling radius of the high-altitude falling object through an image recognition algorithm; if the foreign matter exists, further identifying the shape of the foreign matter, and comparing whether the shape of the foreign matter is matched with the shape in the high falling object shape database or not, so as to judge whether the foreign matter is a high falling object or other background information; if the falling object is judged to be high-altitude falling object, the potential safety hazard is judged to exist, the control module gives an alarm, if no foreign object is judged or the foreign object is other background information, the potential safety hazard is judged to be absent, and the step S3122 is carried out.
The falling radius of the high-altitude falling object is the distance between a falling point and the intersection point of a vertical line passing through the falling point and the falling height reference plane on the falling height reference plane.
According to the national standard, high-altitude operations are divided into four grades:
(1) when the height of the high-altitude operation is 2-5m, the high-altitude operation is defined as first-level high-altitude operation, and the falling radius of the high-altitude operation is 3 m.
(2) When the height of the high-altitude operation is 5-15m, the high-altitude operation is defined as second-level high-altitude operation, and the falling radius of the high-altitude operation is 4 m.
(3) When the height of the high-altitude operation is 15-30m, the three-level high-altitude operation is defined, and the falling radius of the high-altitude operation is 5 m.
(4) When the height of the high-altitude operation is more than 30m, the high-altitude operation is defined as special-level high-altitude operation, and the falling radius of the high-altitude operation is 6 m.
S3122: protrusion risk monitoring. Detecting whether protrusions exist around the infrared edge image or the visible edge image. First, a protrusion range radius, which is a distance range that may cause a worker to miss and collide with the protrusion, is set according to an actual construction situation, for example, 1m, 1.5m, 2m, and the like, and in this embodiment, is set to 1.5 m. Secondly, detecting whether foreign matters exist in the infrared edge image or the visible light edge image within the distance range of the radius of the range of the protrusion through an image recognition algorithm; if the foreign matter exists, further identifying the shape of the foreign matter, and comparing whether the shape of the foreign matter is matched with the shape in the protrusion shape database or not, so as to judge whether the foreign matter is the protrusion or other background information; if the detected object is a protrusion, the control module determines that there is a potential safety hazard, and sends an alarm, and if the detected object is no foreign object or the detected object is other background information, the control module determines that there is no potential safety hazard and then proceeds to step S313.
The high-altitude falling object shape database and the protrusion shape database are data stored in a storage module in advance and can be set according to actual construction conditions.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. A construction safety monitoring method is characterized by comprising the following steps:
s1: collecting construction process information, wherein the construction process information comprises constructor action information and construction environment information;
s2: the method comprises the steps of calling pre-stored construction safety standard data, wherein the construction safety standard data comprise constructor action standard data and construction environment standard data;
s3: respectively comparing the constructor action information with the constructor action standard data, and the construction environment information with the construction environment standard data, if the constructor action information is within the constructor action standard data range and the construction environment information is within the construction environment standard data range, judging that no construction potential safety hazard exists, and continuously returning to execute the step S1; and if the action information of the constructors is not in the action standard data range of the constructors or the construction environment information is not in the construction environment standard data range, judging that the construction potential safety hazard exists and outputting an alarm.
2. The method of claim 1, wherein the constructor action information is video information collected using a video collection module.
3. The method of claim 1, wherein the constructor action information is depth information collected using a depth sensor.
4. The method of any one of claims 1-3, wherein the construction environment information is video information captured using a video capture module.
5. The method of any one of claims 1-3, wherein the construction environment information is sensory information collected using a sensing device comprising at least one of a kinect depth sensor, an altitude sensor, an angle sensor, a wind speed sensor, and an environmental monitoring sensor group.
6. The method according to claim 5, wherein when the sensing device comprises the environmental monitoring sensor group, the sensing information collected by the environmental monitoring sensor group comprises at least one of illumination, temperature, humidity, harmful gas and dust information of the surrounding environment.
7. The method as claimed in any one of claims 1 to 3, wherein the construction environment information and the construction environment standard data are first compared, and the constructor action information and the constructor action standard data are then compared in step S3.
8. The method of claim 1, further comprising: the information generated in step S3 is stored, and step S1 is performed after the storage is successful.
9. A construction safety monitoring device is characterized by comprising a control module, a storage module and a data acquisition module, wherein the data acquisition module is used for acquiring construction process information and sending the construction process information to the control module; the storage module is used for storing data, and the data comprises construction safety standard data; the control module is respectively connected with the storage module and the data acquisition module, and is used for judging whether construction is in a safe state or not by comparing the matching of the construction process information and the construction safety standard data.
10. The apparatus of claim 9, wherein the data acquisition module comprises a video acquisition module and a sensory information acquisition module.
CN202010374140.0A 2020-05-06 2020-05-06 Construction safety monitoring method and device Pending CN111506011A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010374140.0A CN111506011A (en) 2020-05-06 2020-05-06 Construction safety monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010374140.0A CN111506011A (en) 2020-05-06 2020-05-06 Construction safety monitoring method and device

Publications (1)

Publication Number Publication Date
CN111506011A true CN111506011A (en) 2020-08-07

Family

ID=71864370

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010374140.0A Pending CN111506011A (en) 2020-05-06 2020-05-06 Construction safety monitoring method and device

Country Status (1)

Country Link
CN (1) CN111506011A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111914791A (en) * 2020-08-14 2020-11-10 知小二(广州)科技有限公司 Smart city security monitoring system based on image recognition
CN112183363A (en) * 2020-09-29 2021-01-05 北京市政建设集团有限责任公司 Intelligent analysis method and system for safety behaviors of subway engineering constructors
CN112668860A (en) * 2020-12-23 2021-04-16 中哲国际工程设计有限公司 Building construction management system and method based on neural network
CN113378670A (en) * 2021-05-28 2021-09-10 武汉衡云科技有限公司 Intelligent construction site construction method and device and electronic equipment
CN115860730A (en) * 2023-02-23 2023-03-28 通号工程局集团电气工程有限公司 Railway track constructor safety management system based on internet

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101963531A (en) * 2009-07-24 2011-02-02 北方工业大学 Infrared thermal imaging equipment running condition on-line monitoring system based on wireless communication
CN104329120A (en) * 2014-10-17 2015-02-04 成都四为电子信息股份有限公司 Tunnel construction safety monitoring and management system and tunnel construction safety monitoring and management method
CN106593534A (en) * 2016-12-18 2017-04-26 河北科技大学 Intelligent tunnel construction security monitoring system
CN110275220A (en) * 2018-03-15 2019-09-24 阿里巴巴集团控股有限公司 Detection method, the method for detecting position of target object, alarm method
CN110543825A (en) * 2019-08-01 2019-12-06 江苏濠汉信息技术有限公司 Dangerous construction behavior identification method and device based on space-time characteristics
CN110580800A (en) * 2019-10-25 2019-12-17 郑州轻工业学院 Early warning device that drops of high-rise building exterior wall ceramic tile
CN110647822A (en) * 2019-08-30 2020-01-03 重庆博拉智略科技有限公司 High-altitude parabolic behavior identification method and device, storage medium and electronic equipment
CN210091382U (en) * 2019-08-22 2020-02-18 大连科技学院 Road surface direction pilot lamp of morning and evening tides formula road
CN111080878A (en) * 2019-12-11 2020-04-28 广西远长公路桥梁工程有限公司 Construction site safety monitoring method and device based on artificial intelligence

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101963531A (en) * 2009-07-24 2011-02-02 北方工业大学 Infrared thermal imaging equipment running condition on-line monitoring system based on wireless communication
CN104329120A (en) * 2014-10-17 2015-02-04 成都四为电子信息股份有限公司 Tunnel construction safety monitoring and management system and tunnel construction safety monitoring and management method
CN106593534A (en) * 2016-12-18 2017-04-26 河北科技大学 Intelligent tunnel construction security monitoring system
CN110275220A (en) * 2018-03-15 2019-09-24 阿里巴巴集团控股有限公司 Detection method, the method for detecting position of target object, alarm method
CN110543825A (en) * 2019-08-01 2019-12-06 江苏濠汉信息技术有限公司 Dangerous construction behavior identification method and device based on space-time characteristics
CN210091382U (en) * 2019-08-22 2020-02-18 大连科技学院 Road surface direction pilot lamp of morning and evening tides formula road
CN110647822A (en) * 2019-08-30 2020-01-03 重庆博拉智略科技有限公司 High-altitude parabolic behavior identification method and device, storage medium and electronic equipment
CN110580800A (en) * 2019-10-25 2019-12-17 郑州轻工业学院 Early warning device that drops of high-rise building exterior wall ceramic tile
CN111080878A (en) * 2019-12-11 2020-04-28 广西远长公路桥梁工程有限公司 Construction site safety monitoring method and device based on artificial intelligence

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111914791A (en) * 2020-08-14 2020-11-10 知小二(广州)科技有限公司 Smart city security monitoring system based on image recognition
CN112183363A (en) * 2020-09-29 2021-01-05 北京市政建设集团有限责任公司 Intelligent analysis method and system for safety behaviors of subway engineering constructors
CN112668860A (en) * 2020-12-23 2021-04-16 中哲国际工程设计有限公司 Building construction management system and method based on neural network
CN113378670A (en) * 2021-05-28 2021-09-10 武汉衡云科技有限公司 Intelligent construction site construction method and device and electronic equipment
CN115860730A (en) * 2023-02-23 2023-03-28 通号工程局集团电气工程有限公司 Railway track constructor safety management system based on internet

Similar Documents

Publication Publication Date Title
CN111506011A (en) Construction safety monitoring method and device
CN110745704B (en) Tower crane early warning method and device
CN110733983B (en) Tower crane safety control system and control method thereof
CN103613013B (en) System and method for monitoring construction safety of tower crane
CN110620906A (en) Electric power construction safety management system based on thing networking
CN114821373B (en) Intelligent supervision, monitoring, analysis and early warning system for safety of construction site of foundation project engineering
CN111223279A (en) Bridge construction safety detection alarm system
GB2601937A (en) Method and system for managing a crane and/or construction site
CN113206978B (en) Intelligent monitoring and early warning system and method for security protection of oil and gas pipeline station
CN110015553B (en) Foreign matter detection and protection method for conveyor belt system based on video analysis
CN108566538A (en) Based on the circular coal yard personnel safety guard of Infrared-Visible fusion tracking and the monitoring system and method for spontaneous combustion
CN111178424A (en) Petrochemical production site safety compliance real-time detection system and method
CN108764166B (en) System and method for detecting position state of civil air defense door based on supporting rod
CN110597165B (en) Steel piling monitoring system and steel piling monitoring method
CN115620192A (en) Method and device for detecting wearing of safety rope in aerial work
CN114005088A (en) Safety rope wearing state monitoring method and system
CN112377265A (en) Rock burst alarm method based on image recognition acceleration characteristics
CN213458397U (en) Construction warning area monitoring and early warning system based on image recognition
CN116739343A (en) Safety evaluation method and system for power grid construction project site
CN113194284B (en) Intelligent monitoring system and method for tower crane
CN116311729A (en) AI-based power grid infrastructure site safety management system
WO2020213408A1 (en) Danger prediction method and danger prediction device
CN210514972U (en) Belt conveyor safety monitoring and control system based on vision AI
CN213126247U (en) Intelligent monitoring system for potential safety hazards in construction of metro vehicle sections
CN204528976U (en) A kind of building hoist standard knot bolt safe condition detecting device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200807

RJ01 Rejection of invention patent application after publication